Prognostic Value of Pre-Treatment Diffusion Kurtosis Imaging for Progression-Free Survival Prediction in Advanced Nasopharyngeal Carcinoma
- Wang Ren 1, Xiang Zheng 1, Shizhong Wu 1, Caixia Wu 1, Dechun Zheng 1
- Wang Ren 1, Xiang Zheng 1, Shizhong Wu 1
- 1Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, People's Republic of China.
- 0Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, People's Republic of China.
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View abstract on PubMed
Summary
This summary is machine-generated.Diffusion kurtosis imaging (DKI) shows mean kurtosis (MK) is a strong predictor of long-term progression-free survival (PFS) in nasopharyngeal carcinoma (NPC). Combining MK with clinical stage and neoadjuvant chemotherapy improves prognostic accuracy for personalized treatment.
Area Of Science
- Radiology
- Oncology
- Medical Imaging
Background
- Nasopharyngeal carcinoma (NPC) prognosis relies on accurate predictive biomarkers.
- Diffusion kurtosis imaging (DKI) offers insights into tissue microstructure.
- Evaluating novel imaging techniques for NPC prognostication is crucial.
Purpose Of The Study
- To assess the prognostic value of DKI-derived parameters for long-term progression-free survival (PFS) in NPC.
- To determine if mean kurtosis (MK) can predict long-term outcomes in NPC patients.
- To integrate DKI findings with clinical factors for improved prognostic stratification.
Main Methods
- A cohort of 295 NPC patients underwent pretreatment 3.0T MRI with DKI.
- Key DKI metrics derived included mean kurtosis (MK), mean diffusion (MD), and apparent diffusion coefficient (ADC).
- Statistical analyses, including Cox regression and Kaplan-Meier survival analysis, were performed on clinical and imaging data.
Main Results
- High MK values were significantly associated with superior long-term PFS rates compared to low MK values.
- Multivariate analysis identified Clinical Stage, neoadjuvant chemotherapy (NAC) regimens, and MK as independent prognostic factors for PFS.
- A prognostic nomogram integrating Clinical Stage, NAC, and MK demonstrated moderate predictive accuracy for 2-, 5-, and 10-year PFS.
Conclusions
- Pretreatment mean kurtosis (MK) derived from DKI is a robust, noninvasive biomarker for predicting long-term PFS in NPC.
- Integrating MK with clinical stage and neoadjuvant chemotherapy enhances prognostic stratification.
- These findings support the use of DKI in developing personalized therapeutic strategies for NPC.
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